Senior Deep Learning Engineer

We are seeking a highly motivated and experienced Senior Deep Learning Engineer to join our innovative team. In this role, you will contribute to designing, implementing, and optimizing cutting-edge deep learning models for radar applications. Specifically, you will work on advanced deep learning solutions that integrate mmWave radar signal processing with state-of-the-art algorithms. Additionally, you will mentor junior engineers and collaborate with cross-functional teams to drive the boundaries of both Radar sensing and AI technology forward. About KaiKuTek KaiKuTek is a global leader in 3D gesture sensing solutions powered by mmWave radar and embedded AI accelerators. We specialize in key technologies, including Antenna-in-Package (AiP), machine learning algorithms, AI accelerators, and 60 GHz radar transceiver design. Following our recent merger with JMicron Technology Corp., a company founded in 2001 and headquartered in Hsinchu Science Park, we have expanded our product portfolio to include high-speed SerDes bridge controller SoCs for storage applications utilizing USB, PCIe, and SATA technologies. Our innovative sensing technology redefines the human-machine interface, combining mmWave radar with high-speed SerDes to unlock new possibilities and application frontiers. Key Responsibilities • Design, develop, and deploy deep learning models for advanced radar applications, requiring computer vision and digital signal processing expertise. • Optimize and fine-tune models for performance, robustness, and deployment on edge or embedding devices. • Collaborate with data scientists, software engineers, and validation teams to understand requirements and deliver high-quality solutions. • Build and maintain tools and pipelines for data preprocessing, model training, evaluation, and deployment. • Stay updated on the latest trends and advancements in AI and deep learning technologies. • Write clear, efficient code following the best software engineering and machine learning practices. • Mentor and guide junior engineers to foster technical growth within the team. Qualifications • Required: o Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. o 2+ years of experience in deep learning and AI model development. o Strong proficiency in PyTorch deep learning framework. o Proficiency in Python and relevant machine learning libraries. o Strong understanding of neural network architectures, training techniques, and optimization algorithms. o Strong problem-solving skills and the ability to work on challenging technical problems. o Excellent communication and collaboration skills. • Preferred: o Experience with deploying deep learning models on production systems. o Familiarity with model quantization, pruning, and optimization for edge devices. o Knowledge of MLOps tools (e.g., MLflow, Kubernetes, Docker) for model lifecycle management.